Alternatives and similar repositories for leaf-torch:

Users that are interested in leaf-torch are comparing it to the libraries listed below

• alpemreacar / FedDyn
  ☆77Updated 3 years ago
• AIoT-MLSys-Lab / FedRolex
  [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…
  ☆62Updated 7 months ago
• yuetan031 / FedProto
  [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients
  ☆146Updated 2 years ago
• s-huu / Ditto
  ☆54Updated 3 years ago
• woodenchild95 / FL-Simulator
  Pytorch implementations of some general federated optimization methods.
  ☆39Updated 5 months ago
• KarhouTam / SCAFFOLD-PyTorch
  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
  ☆69Updated 2 years ago
• litian96 / ditto
  Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)
  ☆142Updated 2 years ago
• AllenBeau / pFedBayes
  Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]
  ☆56Updated 2 years ago
• gaoliang13 / FedDC
  An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"
  ☆83Updated 3 years ago
• CharlieDinh / FedU_FMTL
  This repo implements FedU, a multitask learning framework for federated learning
  ☆27Updated 2 years ago
• illidanlab / SplitMix
  [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
  ☆42Updated last year
• felisat / federated-learning
  ☆93Updated 3 years ago
• JYWa / FedNova
  PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.
  ☆212Updated 4 years ago
• Lee-Gihun / FedNTD
  (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"
  ☆85Updated 2 years ago
• epfml / federated-learning-public-code
  ☆155Updated 2 years ago
• jeremy313 / non-iid-dataset-for-personalized-federated-learning
  Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…
  ☆84Updated 4 years ago
• hongyouc / FedBE
  FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning
  ☆38Updated last year
• melodi-lab / divfl
  Diverse Client Selection for Federated Learning via Submodular Maximization
  ☆29Updated 2 years ago
• JianXu95 / FedPAC
  Simplified Implementation of FedPAC
  ☆55Updated last year
• omarfoq / FedEM
  Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)
  ☆162Updated 2 years ago
• SamuelHorvath / FL-optimal-client-sampling
  ☆28Updated 2 years ago
• mmendiet / FedAlign
  Official repository for Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning [CVPR 2022 Oral, Best Paper Finalist]
  ☆60Updated 2 years ago
• felisat / clustered-federated-learning
  Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints
  ☆169Updated 4 years ago
• ki-ljl / Scaffold-Federated-Learning
  PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
  ☆68Updated 2 years ago
• jichan3751 / ifca
  Codebase for An Efficient Framework for Clustered Federated Learning.
  ☆113Updated 4 years ago
• Accenture / Labs-Federated-Learning
  Accenture Labs Federated Learning
  ☆98Updated last year
• rong-dai / DisPFL
  [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
  ☆77Updated 2 years ago
• Tzq2doc / FedMD
  FedMD: Heterogenous Federated Learning via Model Distillation
  ☆17Updated 5 years ago
• cugzj / KT-pFL
  ☆33Updated 3 years ago
• akhilmathurs / orchestra
  Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"
  ☆55Updated last year